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arm_std_q31.c
00001 /* ---------------------------------------------------------------------- 00002 * Project: CMSIS DSP Library 00003 * Title: arm_std_q31.c 00004 * Description: Standard deviation of an array of Q31 type. 00005 * 00006 * $Date: 27. January 2017 00007 * $Revision: V.1.5.1 00008 * 00009 * Target Processor: Cortex-M cores 00010 * -------------------------------------------------------------------- */ 00011 /* 00012 * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. 00013 * 00014 * SPDX-License-Identifier: Apache-2.0 00015 * 00016 * Licensed under the Apache License, Version 2.0 (the License); you may 00017 * not use this file except in compliance with the License. 00018 * You may obtain a copy of the License at 00019 * 00020 * www.apache.org/licenses/LICENSE-2.0 00021 * 00022 * Unless required by applicable law or agreed to in writing, software 00023 * distributed under the License is distributed on an AS IS BASIS, WITHOUT 00024 * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 00025 * See the License for the specific language governing permissions and 00026 * limitations under the License. 00027 */ 00028 00029 #include "arm_math.h" 00030 00031 /** 00032 * @ingroup groupStats 00033 */ 00034 00035 /** 00036 * @addtogroup STD 00037 * @{ 00038 */ 00039 00040 /** 00041 * @brief Standard deviation of the elements of a Q31 vector. 00042 * @param[in] *pSrc points to the input vector 00043 * @param[in] blockSize length of the input vector 00044 * @param[out] *pResult standard deviation value returned here 00045 * @return none. 00046 * @details 00047 * <b>Scaling and Overflow Behavior:</b> 00048 * 00049 *\par 00050 * The function is implemented using an internal 64-bit accumulator. 00051 * The input is represented in 1.31 format, which is then downshifted by 8 bits 00052 * which yields 1.23, and intermediate multiplication yields a 2.46 format. 00053 * The accumulator maintains full precision of the intermediate multiplication results, 00054 * but provides only a 16 guard bits. 00055 * There is no saturation on intermediate additions. 00056 * If the accumulator overflows it wraps around and distorts the result. 00057 * In order to avoid overflows completely the input signal must be scaled down by 00058 * log2(blockSize)-8 bits, as a total of blockSize additions are performed internally. 00059 * After division, internal variables should be Q18.46 00060 * Finally, the 18.46 accumulator is right shifted by 15 bits to yield a 1.31 format value. 00061 * 00062 */ 00063 00064 void arm_std_q31( 00065 q31_t * pSrc, 00066 uint32_t blockSize, 00067 q31_t * pResult) 00068 { 00069 q63_t sum = 0; /* Accumulator */ 00070 q63_t meanOfSquares, squareOfMean; /* square of mean and mean of square */ 00071 q31_t in; /* input value */ 00072 uint32_t blkCnt; /* loop counter */ 00073 q63_t sumOfSquares = 0; /* Accumulator */ 00074 00075 if (blockSize == 1U) 00076 { 00077 *pResult = 0; 00078 return; 00079 } 00080 00081 #if defined (ARM_MATH_DSP) 00082 /* Run the below code for Cortex-M4 and Cortex-M3 */ 00083 00084 /*loop Unrolling */ 00085 blkCnt = blockSize >> 2U; 00086 00087 /* First part of the processing with loop unrolling. Compute 4 outputs at a time. 00088 ** a second loop below computes the remaining 1 to 3 samples. */ 00089 while (blkCnt > 0U) 00090 { 00091 /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ 00092 /* Compute Sum of squares of the input samples 00093 * and then store the result in a temporary variable, sum. */ 00094 in = *pSrc++ >> 8U; 00095 sum += in; 00096 sumOfSquares += ((q63_t) (in) * (in)); 00097 in = *pSrc++ >> 8U; 00098 sum += in; 00099 sumOfSquares += ((q63_t) (in) * (in)); 00100 in = *pSrc++ >> 8U; 00101 sum += in; 00102 sumOfSquares += ((q63_t) (in) * (in)); 00103 in = *pSrc++ >> 8U; 00104 sum += in; 00105 sumOfSquares += ((q63_t) (in) * (in)); 00106 00107 /* Decrement the loop counter */ 00108 blkCnt--; 00109 } 00110 00111 /* If the blockSize is not a multiple of 4, compute any remaining output samples here. 00112 ** No loop unrolling is used. */ 00113 blkCnt = blockSize % 0x4U; 00114 00115 while (blkCnt > 0U) 00116 { 00117 /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ 00118 /* Compute Sum of squares of the input samples 00119 * and then store the result in a temporary variable, sum. */ 00120 in = *pSrc++ >> 8U; 00121 sum += in; 00122 sumOfSquares += ((q63_t) (in) * (in)); 00123 00124 /* Decrement the loop counter */ 00125 blkCnt--; 00126 } 00127 00128 /* Compute Mean of squares of the input samples 00129 * and then store the result in a temporary variable, meanOfSquares. */ 00130 meanOfSquares = sumOfSquares / (q63_t)(blockSize - 1U); 00131 00132 #else 00133 /* Run the below code for Cortex-M0 */ 00134 00135 /* Loop over blockSize number of values */ 00136 blkCnt = blockSize; 00137 00138 while (blkCnt > 0U) 00139 { 00140 /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ 00141 /* Compute Sum of squares of the input samples 00142 * and then store the result in a temporary variable, sumOfSquares. */ 00143 in = *pSrc++ >> 8U; 00144 sumOfSquares += ((q63_t) (in) * (in)); 00145 00146 /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ 00147 /* Compute sum of all input values and then store the result in a temporary variable, sum. */ 00148 sum += in; 00149 00150 /* Decrement the loop counter */ 00151 blkCnt--; 00152 } 00153 00154 /* Compute Mean of squares of the input samples 00155 * and then store the result in a temporary variable, meanOfSquares. */ 00156 meanOfSquares = sumOfSquares / (q63_t)(blockSize - 1U); 00157 00158 #endif /* #if defined (ARM_MATH_DSP) */ 00159 00160 /* Compute square of mean */ 00161 squareOfMean = sum * sum / (q63_t)(blockSize * (blockSize - 1U)); 00162 00163 /* Compute standard deviation and then store the result to the destination */ 00164 arm_sqrt_q31((meanOfSquares - squareOfMean) >> 15U, pResult); 00165 } 00166 00167 /** 00168 * @} end of STD group 00169 */ 00170
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